Source of this article and featured image is DZone AI/ML. Description and key fact are generated by Codevision AI system.
This article explains how to build a secure, RAG-powered chatbot for home use using Spring AI, local embeddings, and PostgreSQL. The system ensures privacy by keeping data on personal infrastructure and offers context-aware answers for everyday tasks. It emphasizes low-cost, cloud-free deployment on repurposed hardware like Linux PCs. The tutorial provides code examples and step-by-step guidance for non-technical users. Soham Sengupta demonstrates how to create a family-friendly AI assistant with voice support and offline capabilities.
Key facts
- The chatbot uses Spring AI’s modular architecture with local vector stores and PostgreSQL for secure data management.
- It runs entirely on home infrastructure, avoiding cloud dependencies and ensuring full data control.
- The system supports voice-enabled interactions and works offline, ideal for low-connectivity environments.
- Code examples and a GitHub repository are provided for hands-on implementation.
- It’s designed for non-technical users, offering intuitive interfaces for family document access and task automation.
